Correlation Between Guggenheim High and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Loomis Sayles at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Guggenheim High and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim High Yield and Loomis Sayles Small, you can compare the effects of market volatilities on Guggenheim High and Loomis Sayles and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Guggenheim High with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Loomis Sayles.
Diversification Opportunities for Guggenheim High and Loomis Sayles
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Guggenheim and Loomis is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Loomis Sayles Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Small and Guggenheim High is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Guggenheim High Yield are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Small has no effect on the direction of Guggenheim High i.e., Guggenheim High and Loomis Sayles go up and down completely randomly.
Pair Corralation between Guggenheim High and Loomis Sayles
Assuming the 90 days horizon Guggenheim High Yield is expected to generate 0.17 times more return on investment than Loomis Sayles. However, Guggenheim High Yield is 5.81 times less risky than Loomis Sayles. It trades about 0.12 of its potential returns per unit of risk. Loomis Sayles Small is currently generating about -0.01 per unit of risk. If you would invest 693.00 in Guggenheim High Yield on October 7, 2024 and sell it today you would earn a total of 119.00 from holding Guggenheim High Yield or generate 17.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim High Yield vs. Loomis Sayles Small
Performance |
Timeline |
Guggenheim High Yield |
Loomis Sayles Small |
Guggenheim High and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim High and Loomis Sayles
The main advantage of trading using opposite Guggenheim High and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Loomis Sayles can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Guggenheim High vs. Alternative Asset Allocation | Guggenheim High vs. Rbb Fund Trust | Guggenheim High vs. Qs Large Cap | Guggenheim High vs. T Rowe Price |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
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